Einstein International Journal Organization(EIJO)

Internet has the vastest information and the data sources ever built by mankind. For the evolution of World Wide Web, the scenario of internet user and data exchange is fastly changes. Due to all changes, large number of users joined the internet and use the facilities. By the daily use of internet, large amount of data is available on internet and data plays an important role in every field. Researchers, market analyzer or academicians, Businessman all are share their advertisements, information on internet so that they can connect the people easily. To share and store data on internet, a new problem arises that how to handle such overloaded data and how the user will get or access the web information in least efforts. To solve this is problem, a new technique is used i.e. web scraping. In this paper, our main focus is on recovering the web information using python script. The greater part of the web data shows in unstructured configuration. Thus, web scraping is utilized for separating the unstructured information from the sites and transformed into organized way.

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